Computer Vision Graduate Experience Jobs in Hyderabad

Job descriptionJOB TITLE: Computer Vision EngineerEXPERIENCE: 0 to 2 yearsQUALIFICATION: B.Tech or M.Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Thesis work).SKILLS AND EXPERIENCE REQUIRED :Understanding of engineering principles and a clear understanding of data structures and algorithms.- Experience in the field of Computer vision, Image processing, Machine learning, and Deep learning.- Solid theoretical background in 3D/2D image processing, computer vision and machine learning.- Experience in Computer vision for object recognition and tracking, action recognition, single and two view geometry.- In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers.- Working experience in Deep-learning algorithms/approaches (Neural Networks), platforms like PyTorch and Tensorflow.- Ability to understand, optimize and debug imaging algorithms.- Demonstrated outstanding ability to perform innovative and significant research in the form of technical papers, thesis, or patents.- Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.- Optimize training and prediction runtime performance of machine learning models.- Should have experience on one of the programming languages such as C, C++, and Python. Should have worked on Ubuntu OS.- Necessary Skills: Python, PyTorch/Tensorflow, Computer Vision, Deep Learning, OpenCV.- Additional Desired Skills: ONNX, OpenVINO, Developing CV on Edge computing devices like RaspberryPi, NCS, Google Coral, etc.

Research, develop, design, and build mechanical devices, robotics systems, and applications that are implemented to perform a variety of tasks in industries such as healthcare, agriculture, manufacturing, mining, and the military

Responsibilities Build and mentor the computer vision team at Checko Drive to productionize algorithms (industrial level) developed through hard-core research Own the design, development, testing, deployment, and craftsmanship of the teams infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues Entrepreneurial and out-of-box thinking essential for a technology startup Guide the team for unit-test code for robustness, including edge cases, usability, and general reliabilityEligibility B. Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (courses, projects etc) and 6-8 years of experience M. Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Thesis work) and 4-7 years of experience Ph.D in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Ph. D. Dissertation) and inclination to working in Industry to provide innovative solutions to practical problemsRequirements In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction Ability to understand, optimize and debug imaging algorithms Understating and experience in openCV library Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.) Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine